Identifying the right technologies

While utilization data is now at the forefront of occupancy planning, having a technology to track space and occupancy data remains core to portfolio management and space chargebacks and allocations.

More than 90% of respondents use a CAFM/IWMS system to track floor plans and occupancy data on an ongoing basis. Solutions vary, though, each with their own benefits and use cases. However, the data maintained in the systems is consistent (Figure 59).

Figure 59: What data is maintained?

Note: Based on 45 respondents who maintain space data.
Source: CBRE Global Occupancy Insights Report, 2021.

More than 90% of respondents use a CAFM/IWMS system to track floor plans and occupancy data.

Integrating data sources

Eighty-six percent integrate data feeds into their CAFM/IWMS system (Figure 60), which is best practice as it eliminates manual work and allows teams to focus on more strategic initiatives. Moreover, 84% report that they integrate data from HR for employee data, 66% integrate with organizational/hierarchy data and 55% ingest financial hierarchy for cost centers that drive space allocation programs (Figure 61). Although portfolio data integrations (32%) and utilization data integrations (16%) score low, these will increase as this data is valuable in driving future real estate decisions.

Figure 60: Are there automated data feeds into the CAFM/IWMS technology?

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Note: Based on 44 respondents with a CAFM technology.
Source: CBRE Global Occupancy Insights Report, 2021.

Figure 61: If yes, what data feeds are in place? Select all that apply.

Note: Based on 44 respondents with a CAFM technology.
Source: CBRE Global Occupancy Insights Report, 2021.

Also on the rise are the feeds of data from the CAFM system into systems like employee directories and room reservation systems, with 58% reporting they push data into other systems (Figure 62).

Figure 62: If yes, what tools/technologies use the client CAFM/IWMS data? Select all that apply.

Note: Based on 28 respondents with automated data feeds from CAFM tech.
Source: CBRE Global Occupancy Insights Report, 2021.

Keeping pace with new technology

Today’s rapidly evolving technology landscape is sometimes difficult to keep up with. The CAFM/IWMS landscape is changing and provides ever expanding functionality to address hybrid work and integration with other systems. Taking the time to evaluate systems is crucial for lasting success. A deep understanding of space data goals and a thoughtful approach on ensuring the appropriate adoption are critical components to a successful technology implementation.

Here are CBRE’s predictions on how technologies and tools will help manage workplace and occupancy programs in the future:

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There will be a shift away from the traditional paradigm—
1:1 allocation, fixed desk space chargebacks—toward supporting future work models that elevate the overall employee experience and optimize the entire workplace.
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Functions will diverge, with two separate roles for systems:
one for workplace (space forecasting, space management, move management, dynamic allocation, user experience) and the other for operational support (help desk, health and safety, compliance, asset management, facilities management).
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Systems will integrate with a wider range of enterprise IT platforms:
not just finance and HR, but other third-party systems linked to building operations, facilities management and real estate. In addition, data from a wide range of sources such as sensor technologies will integrate with user experience apps that not only share alerts and informational content but also increase internal communications, such as helping employees find people, request services, reserve rooms and connect with visitors.
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Artificial intelligence (AI) will fundamentally change the way organizations manage their real estate and facilities.
AI will help organizations include new and broader sets of data to determine nonlinear connections between employees and workspaces. Use cases include dynamic space allocation and future space forecasting. The technology will support future working styles by anticipating and scheduling team resource requirements like workspaces, collaboration spaces, focus spaces and meeting rooms.
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Buildings will be digital, native, designed, constructed and managed as a digital twin.
Augmented reality technology linked to user experience apps will enhance how users interact with a building. Proposed changes to any element of a building operation, from elevator scheduling to air quality to employee distribution, will be modelled and tested in a virtual space before implementation. Rich data sets will enable buildings to respond in real time to changes in building use to ensure employees experience an optimal working environment.
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New chargeback models/methodologies
will emerge to reflect the new transactional and team-based way that space is used.

A deep understanding of space data goals and a thoughtful approach on ensuring the appropriate adoption are critical components to a successful technology implementation.

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The outlook for deskbooking technologies

Prior to the pandemic, desk-booking systems had a low adoption rate. Clients were using them as a lever to support a move to free-address working and activity-based working, not as a method to manage space allocations and management in the future.

During the pandemic, interest in desk booking applications increased, with 43%-53% of respondents planning to deploy a room/desking booking application (Figure 63). The requests for solutions have nearly always been linked to space utilization technology to validate bookings and availability.

Figure 63: Is your client planning to deploy a reservation system to book workspaces in the future?

Source: CBRE Global Occupancy Insights Report, 2021.

CBRE has seen an accelerated increase in how occupancy management programs support dynamic scheduling of space based on occupancy requirements. The ability to plan for teams to be seated together based on their work patterns is a priority for the workplace and occupancy industry to solve, which will lead to several major developments:

  • Desk and room reservations will be handled through AI scheduling, which will change and update right up to the time of the meeting. Flex space will be automatically scheduled as and when required.
  • Occupants' actual and predicted locations will be used to bring people together with automated booking of nearby flex meeting space to increase productivity and reduce energy waste.
  • Dynamic space scheduling will actively manage occupancy and utilization rates, which will flatten the utilization curve allowing for an efficient building footprint in peak periods.
  • AI will bring like-minded people together and people needing particular skillsets.